Abstract
AbstractAccurate information about aircraft speed, altitude, and aerodynamic flow angles is essential for evaluating aircraft performance and handling qualities. These quantities are determined from air data measurements taken by sensors normally located near the aircraft cockpit. Since these sensors are affected by the distorted flow field around the fuselage, a correction must be applied. Before the first flight, a set of calibration parameters is usually determined from wind tunnel experiments or CFD calculations. However, the Data Compatibility Check (DCC) method allows a more accurate air data sensor calibration during the certification flight test. This method reconstructs air data quantities from inertial acceleration, angular rate measurements and the flight path. By comparing the reconstructed quantities with the measured ones, the structure and parameters of air data sensor models can be identified. In this paper, an introduction to the data compatibility check method and the setup used in a flight test for system identification is given. The DCC is applied on data gathered from a test campaign with the new DLR research aircraft Dassault Falcon 2000LX ISTAR. Use cases for the calibration of the nose boom airflow vanes and the correction of sensors during large sideslip maneuvers will be presented in this paper.
Funder
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Publisher
Springer Science and Business Media LLC
Subject
Aerospace Engineering,Transportation
Reference10 articles.
1. Klein, V., Scheiss, J.R.: Compatibility check of measured aircraft responses using kinematic equations and extended kalman filter. NASA TN D-8514, (1977)
2. Mulder, J.A., Chu, Q.P., Sridhar, J.K., Breeman, J.H., Laban, M.: Non-linear aircraft flight path reconstruction review and new advances. Progress Aerosp. Sci. 35(7), 673–726 (1999). https://doi.org/10.1016/S0376-0421(99)00005-6
3. Keskar, D.A., Klein, V.: Determination of instrumentation errors from measured data using maximum lieklihood method. AIAA Paper 80-1602, (1980)
4. Jategaonkar, R.V.: Flight vehicle system identification. American Institute of Aeronautics and Astronautics (2015)
5. Giez, A., Mallaun, C., Nenakhov, V., Zöger, M.: Calibration of a nose boom mounted airflow sensor on an atmospheric research aircraft by inflight maneuvers. Technical Report. https://elib.dlr.de/145969/. Accessed 15 Jun 2023 (2021)
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